The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction - A Case Study in the Heart Attack Domain. - Bruno Faria 001; Dylan Perdigão; Joana Brás; Luís Macedo (EPIA, 2022)

Question Answering over Linked Data with GPT-3. - Bruno Faria 001; Dylan Perdigão; Hugo Gonçalo Oliveira (SLATE, 2023)

Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (CIARP (2), 2024)

Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (EPIA (3), 2024)

Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems. - Dylan Perdigão; Tiago Cruz 001; Paulo Simões 001; Pedro Henriques Abreu (NOMS, 2024)

DylanPerdigao/Bayesian-Optimization-1D-CSNN. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (Zenodo, 2024)

Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (IbPRIA, 2025)

Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets. - Bernardete Ribeiro; Francisco Antunes; Dylan Perdigão; Catarina Silva 001 (Pattern Recognit. Lett., 2025)